Marc Brehme

3.0k total citations
10 papers, 1.0k citations indexed

About

Marc Brehme is a scholar working on Molecular Biology, Computational Theory and Mathematics and Aging. According to data from OpenAlex, Marc Brehme has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Aging. Recurrent topics in Marc Brehme's work include Computational Drug Discovery Methods (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Heat shock proteins research (3 papers). Marc Brehme is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Heat shock proteins research (3 papers). Marc Brehme collaborates with scholars based in Germany, United States and United Kingdom. Marc Brehme's co-authors include Cindy Voisine, Thomas Sandmann, Waraporn Tongprasit, Viktor Štolc, Eileen E. M. Furlong, Charles Girardot, James H. Soper, Yitan Zhu, Adriana Villella and Marc Vidal and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Marc Brehme

10 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marc Brehme Germany	9	830	251	155	119	89	10	1.0k
Ruilin Tian China	14	1.1k 1.3×	273 1.1×	261 1.7×	156 1.3×	93 1.0×	30	1.5k
Laurie J. Reichling United States	5	1.2k 1.5×	219 0.9×	149 1.0×	35 0.3×	65 0.7×	8	1.6k
Suzanne Graham United States	12	965 1.2×	152 0.6×	97 0.6×	175 1.5×	209 2.3×	20	1.5k
Katherine H. Schreiber United States	10	980 1.2×	166 0.7×	164 1.1×	129 1.1×	49 0.6×	10	1.3k
Heidi H. Wiener United States	8	1.3k 1.6×	453 1.8×	166 1.1×	30 0.3×	96 1.1×	9	1.6k
Ivano Condò Italy	19	1.1k 1.3×	250 1.0×	78 0.5×	75 0.6×	414 4.7×	30	1.3k
Milos Simic United States	11	463 0.6×	171 0.7×	164 1.1×	277 2.3×	53 0.6×	17	788
Hiroaki Kajiho Japan	15	552 0.7×	422 1.7×	126 0.8×	72 0.6×	49 0.6×	24	880
Tslil Ast Israel	13	855 1.0×	362 1.4×	88 0.6×	26 0.2×	47 0.5×	20	1.1k
Sutheera Ratanasirintrawoot United States	8	1.3k 1.5×	160 0.6×	109 0.7×	26 0.2×	31 0.3×	10	1.5k

Countries citing papers authored by Marc Brehme

Since Specialization

Citations

This map shows the geographic impact of Marc Brehme's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc Brehme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Brehme more than expected).

Fields of papers citing papers by Marc Brehme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Brehme. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc Brehme. The network helps show where Marc Brehme may publish in the future.

Co-authorship network of co-authors of Marc Brehme

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Brehme. A scholar is included among the top collaborators of Marc Brehme based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Brehme. Marc Brehme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Brehme, Marc, et al.. (2019). Proteostasis network deregulation signatures as biomarkers for pharmacological disease intervention. Current Opinion in Systems Biology. 15. 74–81. 9 indexed citations

Sáez-Rodríguez, Julio, et al.. (2018). A systematic atlas of chaperome deregulation topologies across the human cancer landscape. PLoS Computational Biology. 14(1). e1005890–e1005890. 42 indexed citations

César‐Razquin, Adrián, Enrico Girardi, Mi Yang, et al.. (2018). In silico Prioritization of Transporter–Drug Relationships From Drug Sensitivity Screens. Frontiers in Pharmacology. 9. 1011–1011. 18 indexed citations

Brehme, Marc & Cindy Voisine. (2016). Model systems of protein-misfolding diseases reveal chaperone modifiers of proteotoxicity. Disease Models & Mechanisms. 9(8). 823–838. 31 indexed citations

Brehme, Marc, Steffen Koschmieder, Mhairi Copland, et al.. (2016). Combined Population Dynamics and Entropy Modelling Supports Patient Stratification in Chronic Myeloid Leukemia. Scientific Reports. 6(1). 24057–24057. 6 indexed citations

Brehme, Marc, Cindy Voisine, Thomas Rolland, et al.. (2014). A Chaperome Subnetwork Safeguards Proteostasis in Aging and Neurodegenerative Disease. Cell Reports. 9(3). 1135–1150. 418 indexed citations

Brehme, Marc, Oliver Hantschel, Jacques Colinge, et al.. (2009). Charting the molecular network of the drug target Bcr-Abl. Proceedings of the National Academy of Sciences. 106(18). 7414–7419. 126 indexed citations

Sandmann, Thomas, Charles Girardot, Marc Brehme, et al.. (2007). A core transcriptional network for early mesoderm development in Drosophila melanogaster. Genes & Development. 21(4). 436–449. 228 indexed citations

Downey, Michael, Laura Maringele, Adrienne Rollie, et al.. (2006). A Genome-Wide Screen Identifies the Evolutionarily Conserved KEOPS Complex as a Telomere Regulator. Cell. 124(6). 1155–1168. 142 indexed citations

10.

Fischer, Horst, Marc Brehme, Rainer Telle, & R. Marx. (2004). Effect of ion exchange of glazed dental glass ceramics on strength parameters. Journal of Biomedical Materials Research Part A. 72A(2). 175–179. 13 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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